Senior Data Analyst

This is a fully remote position, open to applicants in Alabama, +36 more states.

📋 Description

• Create and develop AI-driven analytics solutions that integrate machine learning and large language models.

• Execute natural-language queries on regulated semantic models, facilitate automated insight generation, and conduct anomaly detection and forecasting on insurance and brokerage data.

• Construct and enhance data models and transformation pipelines within Databricks and Microsoft Fabric utilizing medallion architecture, SQL, Python, and PySpark.

• Manage data quality assessments, lineage tracking, and performance optimization.

• Develop tabular semantic models, DAX measures, and implement row-level security for Power BI and Power BI Embedded.

• Assist in the transition of legacy Analysis Services models.

• Choose, train, validate, and oversee machine learning models utilizing statistical techniques.

• Create evaluation frameworks for LLM outputs, addressing aspects such as accuracy, grounding, and bias evaluation.

• Apply AI governance and security measures that adhere to data classification, access regulations, and row-level security.

• Collaborate with data management and AI strategy teams to uphold responsible-AI standards.

• Convert business inquiries from producers, finance, and operations leaders into technical specifications.

• Document solutions for offshore and vendor delivery teams.

⛳️ Requirements

• Master's degree (or equivalent) in Computer Science, Data Science, Statistics, Information Systems, Engineering, or a related quantitative domain, or a Bachelor's degree (or equivalent) in a relevant field accompanied by 5 years of progressive, post-graduate experience in analytics engineering, data engineering, machine learning, or BI development.

• Proficient in advanced SQL, including performance tuning of queries.

• Skilled in Python for data processing and machine learning applications.

• Experience in constructing data pipelines on a cloud lakehouse platform such as Databricks, Microsoft Fabric, or Snowflake.

• Expertise in dimensional or tabular data modeling for BI.

• Background in developing, assessing, or deploying machine learning or LLM-based solutions.

• Familiarity with statistical analysis methods.

• Significant exposure to the FinTech sector, particularly within the Insurance Domain.

• Strong team collaborator capable of successfully leading focus groups.

• Ability to clearly communicate problem statements and design choices.

• Adaptable to feedback and open to pivoting as necessary.

• Adhere to agile methodologies.

🏝️ Benefits

• Generous time off, including personal and volunteering days.

• Opportunity for remote work.

• Tuition reimbursement and chances for professional development.

• Charitable contribution matching programs.

• Opportunities for stock purchases.

• Comprehensive health and welfare benefits.

• 401K savings plans and additional retirement offerings.

• Employee assistance programs available.

• Potential for performance-based incentives.

• Competitive total rewards package.